A learning procedure, called back-propagation, for layered networks of deterministic, neuron-like units has been described previously. The ability of the procedure automatically to discover useful internal representations makes it a powerful tool for attacking difficult problems like speech recognition. This paper describes further research on the learning procedure and presents an example in w...
